Data Visualization and Statistical Graphics in Big Data Analysis: Figure 9

A video from the 2016 review by Dianne Cook, Eun-Kyung Lee, and Mahbubul Majumder, "Data Visualization and Statistical Graphics in Big Data Analysis," from the Annual Review of Statistics and Its Application.

Shown: Eulerian parallel coordinate plots (PCPs) of nutritional measurements of chocolates. The Eulerian PCP more strongly indicates a difference between the two types of chocolate, milk (orange) and dark (red), and from the scagnostic describing separation displayed by the histogram (blue), we learn that higher values occur when fiber is one of the two variables, indicating its importance as a variable. A simple interaction added to this plot using gridSVG highlights the line closest to the mouse cursor so that we can follow it throughout the plot.